ads-landing
Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion rate", or "landing page optimization".
Install with Tessl CLI
npx tessl i github:AgriciDaniel/claude-ads --skill ads-landing82
Quality
75%
Does it follow best practices?
Impact
91%
1.54xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ads-landing/SKILL.mdEvaluation results
87%
35%Google Ads Landing Page Review
Message match assessment and report format
Headline match check
100%
100%
Offer match check
62%
100%
CTA match check
100%
100%
Visual match check
0%
25%
Keyword match check
100%
100%
Rubric score level used
0%
30%
LANDING-PAGE-REPORT.md produced
0%
100%
Visual bar graph scores
0%
100%
Message match analysis section
100%
100%
Quick Wins present
50%
100%
Quick Wins ordered by impact
50%
100%
Google platform context
87%
100%
Without context: $0.2115 · 1m 33s · 9 turns · 14 in / 4,695 out tokens
With context: $0.2966 · 1m 55s · 11 turns · 14 in / 5,405 out tokens
88%
34%TikTok Campaign Landing Page Optimization
Mobile experience and form optimization
Tap target size
55%
0%
Font size requirement
100%
100%
Mobile CTA visibility
0%
62%
Tel link check
100%
100%
TikTok mobile-first
77%
100%
Form length CVR impact
100%
100%
Multi-step form recommendation
0%
100%
Progress indicator
0%
100%
Specific submit button text
100%
100%
UTM/click ID tracking
11%
100%
Keyboard input types
100%
100%
LANDING-PAGE-REPORT.md produced
0%
100%
Without context: $0.1972 · 1m 28s · 8 turns · 13 in / 4,307 out tokens
With context: $0.5561 · 2m 35s · 22 turns · 28 in / 8,143 out tokens
100%
28%Meta Ads Landing Page Performance Audit
Page speed thresholds and trust signal audit
LCP threshold applied
62%
100%
CLS threshold applied
50%
100%
Page weight threshold applied
57%
100%
WebP/AVIF recommendation
100%
100%
Render-blocking resources
100%
100%
Lazy loading recommendation
100%
100%
Font preloading
42%
100%
Third-party scripts
100%
100%
Meta delivery penalty
100%
100%
Above-fold trust signals
100%
100%
Below-fold trust signals
100%
100%
LANDING-PAGE-REPORT.md produced
0%
100%
Visual health scores
0%
100%
Without context: $0.3632 · 2m 42s · 10 turns · 13 in / 8,791 out tokens
With context: $0.4099 · 2m 41s · 19 turns · 305 in / 6,888 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.